impute.wrapper.KNN

<p>expression matrix with MVs (either peptides or proteins)</p>

dataSet.mvs

<p>This function performs missing values imputation based on KNN algorithm</p>

A collection of functions for left-censored missing data imputation. Left-censoring is a special case of missing not at random (MNAR)  mechanism that generates non-responses in proteomics experiments. The package also contains functions to artificially generate peptide/protein expression data (log-transformed) as random draws from a multivariate Gaussian distribution as well as a function to generate missing data (both randomly and non-randomly). For comparison reasons, the package also contains several wrapper functions for the imputation of non-responses that are missing at random. * New functionality has been added: a hybrid method that allows the imputation of missing values in a more complex scenario where the missing data are both MAR and MNAR.

Samuel Wieczorek

imputeLCMD

impute.wrapper.KNN: Imputation with KNN

Description

Usage

Arguments

Value